Building and exploiting a French corpus for sentiment analysis (Construction et exploitation d'un corpus français pour l'analyse de sentiment) [in French]

Building and exploiting a French corpus for sentiment analysis This work introduces a French corpus for sentiment analysis. We describe the construction and organization of the corpus. We then apply machine learning techniques to automatically predict whether a text is positive or negative (the opinion classification task). Two techniques are used : logistic regression and classification based on Support Vector Machines (SVM). Finally, we briefly evaluate the merits of applying feature selection algorithms to our models (via elastic net regularization). MOTS-CLÉS : Analyse de sentiments, Corpus, Classification, Apprentissage automatique, Sélection de variable.